app.py

import subprocess
import sys
import gradio as gr
from inference import Mars5TTS, InferenceConfig
import librosa
import torch
import numpy as np

# requirements.txt 설치 확인
try:
    subprocess.check_call([sys.executable, "-m", "pip", "install", "-r", "requirements.txt"])
    print("Successfully installed requirements.txt")
except subprocess.CalledProcessError as e:
    print(f"Failed to install requirements.txt: {e}")

# GPU 메모리 초기화
if torch.cuda.is_available():
    torch.cuda.empty_cache()

# MARS5 TTS 모델 로드
try:
    mars5 = Mars5TTS.from_pretrained("CAMB-AI/MARS5-TTS")
    config = InferenceConfig(temperature=0.7)
except Exception as e:
    print(f"Model loading error: {str(e)}")
    raise

def clone_with_prosody(text, ref_audio, enhance_prosody=True):
    try:
        if isinstance(ref_audio, str):
            audio_data, sr = librosa.load(ref_audio, sr=16000)
        else:
            audio_data = ref_audio

        output_audio = mars5.tts(
            text=text,
            ref_audio=audio_data,
            ref_sr=16000,
            config=config if enhance_prosody else None,
            language="ko"
        )
        
        output_path = "output_cloned_audio.wav"
        output_audio.save(output_path)
        return output_path
    except Exception as e:
        return f"Error: {str(e)}"

interface = gr.Interface(
    fn=clone_with_prosody,
    inputs=[
        gr.Textbox(label="Text to Convert", placeholder="Enter text to convert to speech"),
        gr.Audio(label="Reference Audio (Your Voice)", type="filepath", source="upload"),
        gr.Checkbox(label="Enhance Prosody (Intonation/Rhythm)", value=True)
    ],
    outputs=gr.Audio(label="Cloned Voice Output"),
    title="MARS5 Voice Cloner with Prosody",
    description="Upload a 3-5 second audio of your voice and enter text to clone your voice with prosody (intonation, rhythm, emotion).",
    allow_flagging="never"
)

interface.launch()